DECIDING THE BEST VEHICLE ALTERNATIVE BY USING A MULTI CRITERIA DECISION MAKING METHODOLOGY

Authors

  • Muhammet Enes AKPINAR Manisa Celal Bayar University, Faculty of Engineering, Department of Industrial Engineering, Research Assistant, Manisa, 45010
  • Muhammet Ensar YİĞİT Manisa Celal Bayar University, Faculty of Engineering, Department of Civil Engineering, Research Assistant, Manisa, 45010
  • Erkan DOGAN Manisa Celal Bayar University, Faculty of Engineering, Department of Civil Engineering, Associate Professor, Manisa, 45010
  • Mehmet AliÜSTÜNER Manisa Celal Bayar University, Faculty of Engineering, Department of Electrical Engineering, Research Assistant, Manisa, 45010

DOI:

https://doi.org/10.29121/ijetmr.v5.i1.2018.53

Keywords:

Decision Making, AHP, Vehicle Selection

Abstract

Multi-Criteria Decision Making is one of the most important issues, especially when there are numerous competing criteria and alternatives to consider. There are a variety of approaches for dealing with such issues. The Analytic Hierarchy Process (AHP) is one of the most popular problem solvers for this type of problem, and it's especially useful for determining the weights of the criteria. Using decision-makers' evaluation tables, this method compares each of the criteria to each other. Furthermore, this method employs a consistency ratio to assess the consistency of decision-makers' choices. The decision maker's experience and knowledge are critical in this process. Selection of a construction vehicle (truck) alternative is discussed in this study. Four different vehicles are selected based on five criteria. The AHP approach is used to choose the best option. The results are interpreted at the end of the process.

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References

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Published

2018-01-31

How to Cite

AKPINAR, M., YİĞİT, M., DOGAN, E., & AliÜSTÜNER, M. (2018). DECIDING THE BEST VEHICLE ALTERNATIVE BY USING A MULTI CRITERIA DECISION MAKING METHODOLOGY. International Journal of Engineering Technologies and Management Research, 5(1), 108–114. https://doi.org/10.29121/ijetmr.v5.i1.2018.53